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    Prediction of the Residual Stiffness of Composite Materials under Random Vibration Loading Using a Combined Probabilistic Random Forest and Probabilistic Stiffness Model

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 002::page 04025017-1
    Author:
    Houyu Lu
    ,
    Guo Zheng
    ,
    Yichang Hua
    ,
    Reza Talemi
    ,
    Konstantinos Gryllias
    ,
    Dimitrios Chronopoulos
    DOI: 10.1061/AJRUA6.RUENG-1556
    Publisher: American Society of Civil Engineers
    Abstract: The residual stiffness distribution of fiber-reinforced polymer (FRP) is an essential basis for evaluating structural fatigue reliability. This paper proposes a combined random forest and probability model for evaluating and predicting residual stiffness in FRP laminates subjected to random vibration loads. The first phase of stiffness degeneration is predicted through the random forest, and the second phase of stiffness degeneration is predicted by the probability model. Considering the randomness of the load and the dispersion of composite materials, the model of residual stiffness based on the normal distribution for FRP laminates is derived by combining residual stiffness with probability density. The validity of the model is verified by static strength test data and fatigue life test data of glass fiber–reinforced polymer (GFRP) and carbon fiber–reinforced polymer (CFRP). The average errors in the predicted stiffness results are within 5%. Furthermore, the model outputs a residual stiffness probability distribution, which provides the likelihood of each prediction. This distribution accounts for uncertainties associated with single-point prediction, and the true residual stiffness mainly lies within the 95% confidence interval of the distribution. As a result, the model is accurate and dependable in predicting the residual stiffness of composites under random vibration loading.
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      Prediction of the Residual Stiffness of Composite Materials under Random Vibration Loading Using a Combined Probabilistic Random Forest and Probabilistic Stiffness Model

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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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    contributor authorHouyu Lu
    contributor authorGuo Zheng
    contributor authorYichang Hua
    contributor authorReza Talemi
    contributor authorKonstantinos Gryllias
    contributor authorDimitrios Chronopoulos
    date accessioned2025-08-17T22:34:40Z
    date available2025-08-17T22:34:40Z
    date copyright6/1/2025 12:00:00 AM
    date issued2025
    identifier otherAJRUA6.RUENG-1556.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4307136
    description abstractThe residual stiffness distribution of fiber-reinforced polymer (FRP) is an essential basis for evaluating structural fatigue reliability. This paper proposes a combined random forest and probability model for evaluating and predicting residual stiffness in FRP laminates subjected to random vibration loads. The first phase of stiffness degeneration is predicted through the random forest, and the second phase of stiffness degeneration is predicted by the probability model. Considering the randomness of the load and the dispersion of composite materials, the model of residual stiffness based on the normal distribution for FRP laminates is derived by combining residual stiffness with probability density. The validity of the model is verified by static strength test data and fatigue life test data of glass fiber–reinforced polymer (GFRP) and carbon fiber–reinforced polymer (CFRP). The average errors in the predicted stiffness results are within 5%. Furthermore, the model outputs a residual stiffness probability distribution, which provides the likelihood of each prediction. This distribution accounts for uncertainties associated with single-point prediction, and the true residual stiffness mainly lies within the 95% confidence interval of the distribution. As a result, the model is accurate and dependable in predicting the residual stiffness of composites under random vibration loading.
    publisherAmerican Society of Civil Engineers
    titlePrediction of the Residual Stiffness of Composite Materials under Random Vibration Loading Using a Combined Probabilistic Random Forest and Probabilistic Stiffness Model
    typeJournal Article
    journal volume11
    journal issue2
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.RUENG-1556
    journal fristpage04025017-1
    journal lastpage04025017-13
    page13
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 002
    contenttypeFulltext
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